Geomorphic analysis of Xiadian buried fault zone in Eastern Beijing plain based on SPOT image and unmanned aerial vehicle (UAV) data
This study presents geomorphic analysis of Xiadian buried fault in eastern Beijing plain (China), based on the analysis of a Satellite Pour l’Observation de la Terre (SPOT-5) image, a high-resolution digital elevation model (DEM) derived from an unmanned aerial vehicle (UAV) system, SRTM DEM and fie...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2021-01-01
|
Series: | Geomatics, Natural Hazards & Risk |
Subjects: | |
Online Access: | http://dx.doi.org/10.1080/19475705.2020.1870168 |
id |
doaj-0803bad880924544bb36e1e32dac5caa |
---|---|
record_format |
Article |
spelling |
doaj-0803bad880924544bb36e1e32dac5caa2021-01-26T12:13:37ZengTaylor & Francis GroupGeomatics, Natural Hazards & Risk1947-57051947-57132021-01-0112126127810.1080/19475705.2020.18701681870168Geomorphic analysis of Xiadian buried fault zone in Eastern Beijing plain based on SPOT image and unmanned aerial vehicle (UAV) dataYanping Wang0Pinliang Dong1Yueqin Zhu2Jun Shen3Shunbao Liao4Department of Ecology and Environment, Institute of Disaster PreventionDepartment of Geography and the Environment, University of North TexasDevelopment and Research Center, China Geological SurveyDepartment of Ecology and Environment, Institute of Disaster PreventionDepartment of Ecology and Environment, Institute of Disaster PreventionThis study presents geomorphic analysis of Xiadian buried fault in eastern Beijing plain (China), based on the analysis of a Satellite Pour l’Observation de la Terre (SPOT-5) image, a high-resolution digital elevation model (DEM) derived from an unmanned aerial vehicle (UAV) system, SRTM DEM and field investigation. Interpretations of the SPOT-5 image show that the pits always distribute between fault scarp segments or shallow grooves. The geomorphic features near the fault show echelon arrangements caused by dextral strike-slip activities of the fault. Based on this, the characteristics of stress field in this area have been clearly inferred. At centimeter-level accuracy, UAV-derived DEM profiles can clearly show micro tectonic landforms such as fault scarps, shallow grooves, steep slopes, and pits. Combined with previous research and field measurements, the evolution rates in length and height of the fault scarps are analysed. Furthermore, the deflection analysis of the drainage system also shows the characteristics of the continuous strike slip activity of the Xiadian fault. The study can provide valuable insight into geomorphic analysis of buried and semi-buried active faults in plain areas with increasingly frequent human activities.http://dx.doi.org/10.1080/19475705.2020.1870168buried faultsgeomorphic featuresspot-5unmanned aerial vehicle (uav)digital elevation model (dem) |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Yanping Wang Pinliang Dong Yueqin Zhu Jun Shen Shunbao Liao |
spellingShingle |
Yanping Wang Pinliang Dong Yueqin Zhu Jun Shen Shunbao Liao Geomorphic analysis of Xiadian buried fault zone in Eastern Beijing plain based on SPOT image and unmanned aerial vehicle (UAV) data Geomatics, Natural Hazards & Risk buried faults geomorphic features spot-5 unmanned aerial vehicle (uav) digital elevation model (dem) |
author_facet |
Yanping Wang Pinliang Dong Yueqin Zhu Jun Shen Shunbao Liao |
author_sort |
Yanping Wang |
title |
Geomorphic analysis of Xiadian buried fault zone in Eastern Beijing plain based on SPOT image and unmanned aerial vehicle (UAV) data |
title_short |
Geomorphic analysis of Xiadian buried fault zone in Eastern Beijing plain based on SPOT image and unmanned aerial vehicle (UAV) data |
title_full |
Geomorphic analysis of Xiadian buried fault zone in Eastern Beijing plain based on SPOT image and unmanned aerial vehicle (UAV) data |
title_fullStr |
Geomorphic analysis of Xiadian buried fault zone in Eastern Beijing plain based on SPOT image and unmanned aerial vehicle (UAV) data |
title_full_unstemmed |
Geomorphic analysis of Xiadian buried fault zone in Eastern Beijing plain based on SPOT image and unmanned aerial vehicle (UAV) data |
title_sort |
geomorphic analysis of xiadian buried fault zone in eastern beijing plain based on spot image and unmanned aerial vehicle (uav) data |
publisher |
Taylor & Francis Group |
series |
Geomatics, Natural Hazards & Risk |
issn |
1947-5705 1947-5713 |
publishDate |
2021-01-01 |
description |
This study presents geomorphic analysis of Xiadian buried fault in eastern Beijing plain (China), based on the analysis of a Satellite Pour l’Observation de la Terre (SPOT-5) image, a high-resolution digital elevation model (DEM) derived from an unmanned aerial vehicle (UAV) system, SRTM DEM and field investigation. Interpretations of the SPOT-5 image show that the pits always distribute between fault scarp segments or shallow grooves. The geomorphic features near the fault show echelon arrangements caused by dextral strike-slip activities of the fault. Based on this, the characteristics of stress field in this area have been clearly inferred. At centimeter-level accuracy, UAV-derived DEM profiles can clearly show micro tectonic landforms such as fault scarps, shallow grooves, steep slopes, and pits. Combined with previous research and field measurements, the evolution rates in length and height of the fault scarps are analysed. Furthermore, the deflection analysis of the drainage system also shows the characteristics of the continuous strike slip activity of the Xiadian fault. The study can provide valuable insight into geomorphic analysis of buried and semi-buried active faults in plain areas with increasingly frequent human activities. |
topic |
buried faults geomorphic features spot-5 unmanned aerial vehicle (uav) digital elevation model (dem) |
url |
http://dx.doi.org/10.1080/19475705.2020.1870168 |
work_keys_str_mv |
AT yanpingwang geomorphicanalysisofxiadianburiedfaultzoneineasternbeijingplainbasedonspotimageandunmannedaerialvehicleuavdata AT pinliangdong geomorphicanalysisofxiadianburiedfaultzoneineasternbeijingplainbasedonspotimageandunmannedaerialvehicleuavdata AT yueqinzhu geomorphicanalysisofxiadianburiedfaultzoneineasternbeijingplainbasedonspotimageandunmannedaerialvehicleuavdata AT junshen geomorphicanalysisofxiadianburiedfaultzoneineasternbeijingplainbasedonspotimageandunmannedaerialvehicleuavdata AT shunbaoliao geomorphicanalysisofxiadianburiedfaultzoneineasternbeijingplainbasedonspotimageandunmannedaerialvehicleuavdata |
_version_ |
1724322633511600128 |